Measuring the wind affecting a turbine is critical. The accurate measurement of the power curve, average yaw misalignment, turbulence intensity profile and nacelle transfer function can be achieved through in-depth expertise harnessing the full power of nacelle-based Lidar technology (Light Detection and Ranging).
The nacelle mounted Lidar can be used for:
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Turbine supply agreement power curve warranty measurements in line with IEC 61400-50-3:2022.
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Operational power curve assessment
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Static and dynamic yaw correction
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Turbine performance uncertainty reduction
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Turbine performance degradation checks
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Turbine upgrade verification
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Wind farm Lidar control for wakes
Nacelle Mounted Lidar Installation
Incorporating Nacelle mounted Lidars into your onshore or offshore measurement campaign offer another level of measurement accuracy
Delivers Critical Measurement Accuracy
Our Nacelle Mounted Lidar measurement technology has been validated across multiple turbine OEM campaigns and is accepted within new and existing Turbine Supply Agreements for contractual Power Performance Measurements according to IEC61400-12-1:2017 (ed.2) and following the guidelines within IEC 61400-50-3:2022.
Eliminates Uncertainty
A Nacelle Mounted Lidar measures a large number of parameters including wind speed, shear, veer, wind yaw misalignment, turbulence, rotor equivalent wind speed (REWS) as well as wind flow complexity.
Delivers Comprehensive Readings
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Wind speed measurement accuracy of 0.1 m/s
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Wind direction measurement accuracy of 0.5°angle
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Speed range of 0.5 – 45 m/s (wind loading survivability up to 70 m/s)
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Measurement range 10m – 550m
Prevents Turbine Misalignment
Turbine yaw misalignment occurs when the turbine rotor is not perfectly perpendicular to the wind. The theoretical power loss from yaw misalignment is proportional to the cube of the cosine of the yaw error. The loss has been found to be closer the square of the cosine of the yaw error.
Degree Misalignment
Cos ^2
Cos ^3
0
100.0%
100.0%
2
99.9%
99.8%
4
99.5%
99.3%
6
98.9%
98.4%
8
98.1%
97.1%
10
97.0%
95.5%
12
95.7%
93.6%
14
94.1%
91.4%
16
92.4%
88.8%
18
90.5%
86.0%
20
88.3%
83.0%